Mac Studio
Geekbench ML Score
2984
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | azrobbo |
| Upload Date | August 15 2024 06:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1259
235.5 IPS |
|
|
Image Classification (F16)
|
100% |
1573
294.4 IPS |
|
|
Image Classification (I8)
|
99% |
1579
295.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
779
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5424
6.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
12411
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12396
15.0 IPS |
|
|
Object Detection (F32)
|
100% |
1257
93.9 IPS |
|
|
Object Detection (F16)
|
100% |
1710
127.6 IPS |
|
|
Object Detection (I8)
|
97% |
1268
94.7 IPS |
|
|
Face Detection (F32)
|
100% |
2629
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
3971
47.2 IPS |
|
|
Face Detection (I8)
|
97% |
3813
45.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5028
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7871
61.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7896
61.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14478
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23240
30.6 IPS |
|
|
Style Transfer (I8)
|
100% |
23179
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3438
122.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4347
155.2 IPS |
|
|
Text Classification (F32)
|
100% |
2068
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3297
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3287
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
660
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
664
12.2 IPS |
